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Latest Release of WSO2 API Manager Expands Security and Support for Kubernetes, Microservices, and Serverless Apps

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Mountain View, CA, April 07, 2020 (GLOBE NEWSWIRE) — APIs are the core building blocks of digital businesses—assembling data, events and services from within the organization, throughout ecosystems, and across devices. This is driving demands to maximize adoption and reuse across internal and external portals and API marketplaces; ensure API security; and support modern architectures, including containers, microservices, and serverless computing. WSO2 has added significant new functionality to support these enterprises with the newest release of WSO2 API Manager, the only complete open source platform for creating, managing, consuming, and monitoring APIs and API products.The latest release builds WSO2 API Manager’s capabilities for delivering a seamless, end-to-end API management experience while addressing all the requirements of API creators, product managers, and consumers. Available today, it includes:The newest release of WSO2 API Microgateway, the cloud-native, lightweight, developer-centric, decentralized API gateway for microservicesEnhanced native Kubernetes API Operator with support for microgateways and microservices via SwaggerAmazon Web Services (AWS) Lambda support to facilitate API use for serverless appsNew API Security Audit Integration feature developed in partnership with 42Crunch to help eliminate security loopholes in APIsEnhanced support for API authentication using JSON Web TokensNew API Store recommendation feature powered by artificial intelligence (AI) to help developers select the APIs best suited for their needsNew API Categories feature in the API Store that makes it easier to discover APIs and subscribe to themNew API mocking feature that lets API developers offer a real experience to API testers“APIs are at the heart of the modern, cloud-native applications and services that are powering today’s digital businesses,” said Paul Fremantle, WSO2 CTO and co-founder. “The latest release of our open source WSO2 API Manager for full lifecycle API management builds on the proven technology that already powers billions of API calls daily to support these demands. Not only have we extended support for microservices and DevOps-driven cloud environments; we’ve also enriched API security and made it easier than ever for developers to find, try out, and use APIs.”New WSO2 API Microgateway Release
WSO2 API Microgateway is the cloud-native, lightweight, developer-centric, decentralized API gateway for microservices that complements and is integrated with WSO2 API Manager. Using WSO2 API Microgateway, developers can compose microservices and expose them as APIs that operate in a range of deployments—booting them up in less than a second. Typical deployments include Kubernetes clusters, containerized deployments, container management systems, service meshes, legacy deployments, and hybrid environments, among others.
The newest release of WSO2 API Microgateway adds support for gRPC, the open source remote procedure call system widely used for microservices and mobile apps. Through support for gRPC APIs, WSO2 API Microgateway helps users to expose managed gRPC endpoints. Other new capabilities include:The option to choose between Java and Ballerina, the open source language and platform that brings networking into the languageObservability to improve the microgateway’s message tracing capabilitiesIncreased security through API key-based authentication, combined authentication schemas, and multiple Java Web Token (JWT) issuer supportExtended Support for Microservices and Serverless Architectures
The newest release of WSO2 API Manager extends support for widely adopted architectures for modern applications, including serverless computing, containers, and microservices.
AWS Lambda Integration. Increasingly enterprises are building applications designed to run on the AWS Lambda event-driven serverless computing platform in order to cut the time and cost of deploying apps and increase the scalability of backend services. The new AWS Lambda integration in WSO2 API Manager enables developers to use AWS Lambda functions through a variety of services using APIs. WSO2 API Manager facilitates the invocation of AWS Lambda functions using either stored AWS credentials or identity and access management (IAM) role-supplied temporary AWS credentials.Kubernetes API Operator. Kubernetes is effectively the de facto cloud orchestration platform for DevOps-driven environments. In 2019, WSO2 API Manager became the first full lifecycle API management platform to natively support Kubernetes through a Kubernetes API Operator. By making the management and configuration of APIs a core part of the Kubernetes platform, the Kubernetes API Operator enables higher productivity for developers, DevOps, and cloud administrators when building, deploying, and managing APIs.The newest Kubernetes API Operator release supports multiple Docker registries, such as Docker Hub, Amazon Elastic Container Registry (ECR), Google Container Registry, Quay.io, and HTTP(S) Docker registries. It also provides the ability to expose multiple Swagger definitions as an API, and it gives a Swagger definition to Kubernetes that makes it easy to deploy a microgateway for microservices within minutes. Additionally, the new Kubernetes API Operator version enables developers to:Deploy and manage serverless (KNative) applications.Apply API management to microservices deployed in an Istio service mesh.Use Java interceptors for mediations when exposing APIs.Expose APIs via the Ingress controller to have a single point for API invocations.Expanded API Security
WSO2 has put a priority on addressing the rapidly evolving security attacks on APIs by expanding on the robust policy-based controls for authentication and authorization in WSO2 API Manager. In 2019, enhancements included an open source extension that enables enterprises to take advantage of the artificial intelligence (AI) powered API cybersecurity of PingIntelligence for APIs, JWT authentication support, bot detection, and an API Schema Validator. The newest release of WSO2 API Manager adds a new API Security Audit Integration feature and enhances JWT authentication support.
API Security Audit Integration. In partnership with 42Crunch, WSO2 has developed an open source extension that integrates 42Crunch API Security Audit with WSO2 API Manager. Through the extension, enterprises can use API Security Audit to assign a score to an API based on the Swagger definition of the API. The resulting audit report takes into account OpenAPI format requirements, security, and data validation when scoring an API and presents the impact for each of these three areas.Using the report, API developers can identify and eliminate any existing security loopholes in a given API—tracking exactly where an issue is and taking corrective actions. API Security Audit also points to an encyclopedia that contains additional details on what the vulnerability is, how it can be exploited, and how it can be fixed. Once developers identify the fix, they can use the built-in Swagger Editor in WSO2 API Manager to edit the API definition and then re-check the score using API Security Audit.JWT Authentication Support. Support for JSON Web Tokens in WSO2 API Manager means that when APIs are secured using the OAuth 2.0 authorization protocol, JWTs issued for users from the API Manager security token service (STS) can be used to invoke APIs. This greatly simplifies the ability to perform true hybrid and distributed deployments of API gateways, significantly increases API gateway scalability, and reduces operational costs. Enhancements in the newest release of WSO2 API Manager:Separate the backend JWT from the client JWT to ensure that user information is not sent without consent.Let developers incorporate user claims into a JWT generated at the backend and handle user-related decisions in the API.Support multiple token issuers, so users can bring their own JWTs and verify them in the API gateway.Enhanced Developer Experience
As APIs have become central to modern application development, WSO2 has invested in introducing innovations to WSO2 API Manager that optimize the productivity of software developers. In the latest release, this includes an API Store recommendation system, API categories, and API mocking.
API Store Recommendation System. Traditionally, developers have conducted standard API searches in the API Store in WSO2 API Manager to see a list of applicable APIs. Now, powered by AI, the API Store can recommend APIs to subscribers by analyzing the behavior of a developer and the application being developed. This helps subscribers to discover more useful APIs with less effort.API Categories. API providers can now categorize their APIs easily with this feature. The API Store (i.e. developer portal) will display the APIs under their respective categories, making it easier to discover these APIs and subscribe to them. API providers no longer are required to remember any tag-wise group naming conventions; instead they can simply select the applicable category for an API and save it. If there is no suitable category, API providers can request that the administrator add one.API Mocking. The new API mocking feature builds on the existing API prototyping functionality in WSO2 API Manager, which lets developers try out APIs easily without a subscription. Using the new API mocking feature, developers can easily include different mock payloads in order to offer a real experience to API testers. The inline script for payload generation will be generated automatically for each response code and payload type based on the example values or response schemas defined in the API definition.Availability and Support
WSO2 API Manager 3.1 and WSO2 API Microgateway 3.1 are available today as open source products released under the Apache License 2.0. The products are backed by WSO2 Subscription, which features access to WSO2 Update for continuous delivery of bug fixes, security updates, and performance enhancements, along with WSO2 Support for 24×7 support. Unified pricing means customers can simply buy a WSO2 Subscription and choose the hosting model—cloud, on-premises or hybrid—based on their preferences. Information on WSO2 Subscription and other service and support offerings can be found at https://wso2.com/consultant-services.
About WSO2
Founded in 2005, WSO2 enables the composable enterprise. Our open source, API-first, and decentralized approach helps developers and architects to be more productive and rapidly build digital products to meet demand. Customers choose us for our broad, integrated platform, approach to open source, and digital transformation methodology. The company’s hybrid platform for developing, reusing, running, and managing integrations prevents lock-in through open source software that runs on-premises or in the cloud. With offices in Australia, Brazil, Germany, Sri Lanka, the UK, and the US, WSO2 employs over 600 engineers, consultants, and professionals worldwide. Today, hundreds of leading brands and thousands of global projects execute over 6 trillion transactions annually using WSO2 integration technologies. Visit https://wso2.com to learn more. Follow WSO2 on LinkedIn and Twitter.
Trademarks and registered trademarks are the properties of their respective owners.Shifali Erasmus
Kinetic.PR for WSO2 Mobile: 650-544-6424

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Artificial Intelligence

SimSpace Welcomes Matt Knutsen as New Chief Revenue Officer to Spearhead Expansion Plan

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SimSpace strengthens their leadership team, appointing Knutsen to drive revenue growth for the company as it expands further into the public sector 
BOSTON, May 2, 2024 /PRNewswire/ — SimSpace, the US-based industry leader in AI-Powered cyber ranges, announced today the appointment of Matt Knutsen as its new Chief Revenue Officer (CRO). Matt will champion SimSpace’s global sales and revenue growth strategy. He will drive expansion initiatives and foster strategic partnerships to stress test businesses’ and state agencies’ people, processes and technologies against the most advanced adversaries.

With more than 20 years of experience in the field, Matt most recently held the position of CRO at cyber training provider Immersive Labs, where he increased revenue growth by over 4000% and attracted over $180M in investment. He also launched the company into new markets, expanding the team across Australia, Europe, the Middle East, New Zealand and the US. The combination of Matt’s wealth of experience and his in-depth industry knowledge make him well-equipped to lead SimSpace’s next phase of growth.
As nation-state attacks rise in frequency, and AI drives a new wave of severe cyberattacks, companies also have to navigate uncertain economic conditions. SimSpace empowers organizations to cut unnecessary spending through stack optimization, allowing CISOs to maximize their ROI and effectiveness of their technology stack. Knutsen’s influence in the field will propel the SimSpace Platform to new heights, advancing access for companies and governments that need to optimize their cybersecurity defenses and safeguard their critical infrastructure from an increasingly volatile threat landscape.
Matt Knutsen is the most recent addition to SimSpace’s Executive Leadership Team, following Clint Sand’s appointment as Chief Product Officer in February 2024. His appointment underscores SimSpace’s continued growth trajectory, headed by the $45M they secured in funding from L2 Point Management, bringing the total capital raised over the past year to $70M. The company has also bolstered their presence in the public sector, marked by their recent partnership with Carahsoft and their multi-year contract with Florida to enhance the state’s cybersecurity preparedness. SimSpace’s high fidelity cyber ranges and simulations will enable state agencies and programs like Cyber Florida to rehearse and respond to cyberattacks.  
Commenting on Matt’s arrival, SimSpace CEO William Hutchison said, “Matt is a seasoned executive, who has accumulated years of knowledge on cybersecurity best practices and established himself as a leading authority in cyber range exercises. His industry influence, strategic vision and conviction in the importance of cybersecurity preparedness will shape the future success of the company at this crucial time of expansion. With Matt leading our revenue organization, we have full confidence in our capacity to deepen our valued partnerships and build strong, new connections which will further elevate SimSpace’s position as a trusted cybersecurity partner.”
Matt Knutsen, Chief Revenue Officer commented, “I’m looking forward to bringing a proactive approach to cybersecurity risk management to even more private and public sector organizations. I’ve already been impressed by SimSpace’s high-fidelity cyber range simulations, both on and off premise. It’s a great time to be joining the company and I’m excited to build upon SimSpace’s recent rapid growth with even more partnerships.”
About SimSpace
SimSpace is the global leader in AI-Powered cyber ranges, founded by experts from U.S. Cyber Command and MIT’s Lincoln Laboratory to respond to a new era of unprecedented cyber threats. Having raised nearly $70 million in funding over the past year, the company’s Platform enables the most sophisticated enterprises, governments, and critical national infrastructure organizations to find intelligence-driven answers to the most vexing security, governance, training, and cyber readiness questions. SimSpace provides high-fidelity cybersecurity simulations, training, and safe live-fire exercises to Fortune 2000 financial, retail, insurance, and other commercial markets. SimSpace’s Platform results in an average reduction in cyber operational costs of 30% and a 40% reduction in breaches. 
For more information, please visit: www.SimSpace.com.

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Artificial Intelligence

Enterprise AI Market to Be Worth $171.2 Billion by 2031–Exclusive Report by Meticulous Research®

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REDDING, Calif., May 2, 2024 /PRNewswire/ — According to a new market research report titled, ‘Enterprise AI Market by Offering (Solutions, Services), Deployment Mode, Organization Size, Technology (ML, NLP), End-use Industry (IT & Telecom, Healthcare, Retail & E-commerce, Media & Advertisement) and Geography—Global Forecast to 2031,’ the global enterprise AI market is projected to reach $171.2 billion by 2031, at a CAGR of 32.9% from 2024 to 2031.

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Enterprise artificial intelligence (AI) is the integration of advanced AI-enabled technologies and techniques within large organizations to enhance business functions. Enterprise AI encompasses routine tasks of an organization such as data collection and analysis, supply chain management, finance, marketing, customer service, human resources and cybersecurity, and risk management. Enterprise AI is an integration of AI-enabled technologies such as machine learning, natural language processing, image processing, and speech recognition. Enterprise AI is used in various industries such as media & advertising, healthcare, retail & e-commerce, BFSI, government, automotive, and IT & telecom.
The growth of the enterprise AI market is driven by enterprises’ increasing need to enhance customer satisfaction and the growing implementation of enterprise AI solutions in the IT & telecom sectors. However, the high costs of enterprise AI solutions restrain the growth of this market. Furthermore, the increasing need for conversational AI solutions for optimized sales & marketing management and the growing need to automate business processes are expected to generate growth opportunities for the players operating in this market. However, data privacy & security concerns are a major challenge impacting market growth. Additionally, the growing adoption of AI chatbots for customer interaction and the increasing integration of Machine Learning (ML) technology into enterprise AI solutions are prominent trends in this market.
The global enterprise AI market is segmented by offering (solutions and services [professional services and managed services]), deployment mode (cloud-based deployment and on-premise deployment), organization size (large enterprises and small & medium-sized enterprises), technology (machine learning, image processing, natural language processing, and speech recognition), end-use industry (media & advertising, healthcare, retail & e-commerce, BFSI, government, automotive, IT & telecom, and other end-use industries), and geography. The study also evaluates industry competitors and analyses the market at the country and regional levels.
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Based on offering, in 2024, the solutions segment is expected to account for the larger share of 63% of the enterprise AI market. The segment’s large market share is attributed to the growing adoption of enterprise AI solutions to solve specific business challenges or streamline business processes and the growing implementation of these solutions to automate tasks, analyze data, and provide insights.
However, the services segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by the growing need for AI consulting, data analysis, and enterprise-grade AI solution development, maintenance, and support and the rising adoption of services to automate tasks and help improve business operations efficiently.
Based on deployment mode, in 2024, the on-premise deployment segment is expected to account for the largest share of the enterprise AI market, with a revenue contribution of around USD 13 billion. The segment’s large market share is attributed to the increasing on-premise deployment of enterprise AI solutions by large enterprises and the growing demand for service flexibility, enhanced customer experience, and efficiency in managing risks and compliance.
However, the cloud-based deployment segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by benefits associated with cloud-based deployment, including easy maintenance of customer data, cost-effectiveness, and scalability, and the increasing demand for enterprise AI solutions that support multi-cloud deployments.
Based on organization size, in 2024, the large enterprises segment is expected to account for the larger share of the enterprise AI market. The segment’s large market share is attributed to the growing emphasis on developing strategic IT initiatives among large enterprises, the increasing need to manage large volumes of customer-level data, and the early adoption of advanced technologies across various sectors such as retail, manufacturing, healthcare, and automotive.
However, the small & medium-sized enterprises segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by the increasing need for chatbots and digital assistants among small & medium-sized enterprises and the increasing need to improve performance, quality management, and customer satisfaction in call centers.
Based on technology, in 2024, the machine learning segment is expected to account for the largest share of the enterprise AI market. The segment’s large market share is attributed to the growing adoption of enterprise AI solutions with machine learning capabilities to analyze historical data and identify patterns and the increasing use of these solutions in e-commerce, streaming platforms, and content websites.
However, the natural language processing segment is expected to register the highest CAGR of 37.4% during the forecast period. The growth of this segment is driven by the growing need to understand, interpret, and generate human language data and the rising adoption of NLP to analyze user preferences, behaviors, and interactions to deliver personalized content.
Based on end-use industry, in 2024, the IT & telecom segment is expected to account for the largest share of 26% of the enterprise AI market. The segment’s large market share is attributed to the increasing demand for personalized customer experiences enabled by AI technologies, the rising adoption of AI for analyzing data from network sensors to optimize operations, and the growing utilization of AI to enhance network performance and deliver customized services. Also, this segment is expected to register the highest CAGR during the forecast period.
Based on geography, in 2024, North America is expected to dominate the global enterprise AI market.  North America enterprise AI market is estimated to be worth USD 9 billion in 2024. North America’s significant market share can be attributed to the growing adoption of enterprise AI solutions in the retail, healthcare, and finance sectors, the rising implementation of AI to enhance customer engagement, inventory management, and personalized shopping experience, and the increasing use of chatbots on websites, social media platforms, and messaging apps to respond customer inquiries.
However, Asia-Pacific is expected to register the highest CAGR of 34.3% during the forecast period. The growth of this regional market is driven by the growing emphasis by companies to launch chatbots and virtual assistants in the Asia-Pacific region, growing demand for chatbots and voice assistant solutions, and increasing demand for AI-powered customer support services.
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The key players operating in the enterprise AI market are NVIDIA Corporation (U.S.), Google LLC (A subsidiary of Alphabet Inc.) (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com, Inc.) (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Verint Systems Inc. (U.S.), SAP SE (Germany), Pegasystems Inc. (U.S.), Wipro Limited (India), Intel Corporation (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), MicroStrategy Incorporated (U.S.), Amelia US LLC (U.S.), Sentient.io (Singapore).
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Scope of the Report:
Global Enterprise AI Market Assessment—by Offering
SolutionsServicesProfessional ServicesManaged ServicesGlobal Enterprise AI Market Assessment—by Deployment Mode
On-premise DeploymentCloud-based DeploymentGlobal Enterprise AI Market Assessment—by Organization Size
Large EnterprisesSmall & Medium-sized EnterprisesGlobal Enterprise AI Market Assessment—by Technology
Machine LearningNatural Language ProcessingImage ProcessingSpeech RecognitionGlobal Enterprise AI Market Assessment—by End-use Industry
IT & TelecomNetwork OptimizationCustomer Service Automation and Virtual AssistantsHuman Resource ManagementCustomer AnalyticsCybersecurityOther IT & Telecom Applications BFSISecurity and Risk ManagementStreamlining Regulatory ComplianceCustomer Relationship ManagementReal-Time Transaction MonitoringData Analytics & PredictionOther BFSI Applications HealthcareHospital Workflow ManagementLifestyle ManagementPatient Data & Risk AnalyticsMedical Imaging & DiagnosisPrecision MedicineRemote Patient MonitoringRobot-assisted SurgeryDrug Discovery Retail & E-commerceSearch and RecommendationsCustomer Relationship ManagementInventory ManagementSupply Chain OptimizationIn-store Visual Monitoring & SurveillancePredictive AnalyticsDemand ForecastingChatbots Media & AdvertisementChatbots and Virtual AssistantsPredictive AnalyticsSales & Marketing AutomationAdvertising RecommendationContent GenerationTalent IdentificationProduction Planning & Management AutomotiveAdvanced Driver Assistance SystemsHuman-Machine InterfaceVehicle PersonalizationDesigning and Production ManagementSupply Chain ManagementOther Automotive Applications GovernmentFraud Detection and PreventionAdministrative ProcessesDisaster Management and ResponsePersonalized User SupportOther Government Applications Other End-use IndustriesGlobal Enterprise AI Market Assessment —by Geography
North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRest of EuropeAsia-PacificChinaJapanIndiaSouth KoreaSingaporeRest of Asia-PacificLatin AmericaMiddle East & AfricaRelated Reports:
Conversational AI Market by Offering, Application, Organization Size, Deployment Mode, Sector (IT & Telecommunications, BFSI, Retail & E-commerce, Healthcare & Life Sciences, Travel & Hospitality, Education, Manufacturing) – Global Forecast to 2030
Speech and Voice Recognition Market by Function (Speech, Voice Recognition), Technology (AI and Non-AI), Deployment Mode (Cloud, On-premise), End User (Consumer Electronics, Automotive, BFSI, Other End Users), and Geography – Global Forecast to 2030
AI in Manufacturing Market by Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance & Machinery Inspection, Quality Management, Supply Chain Optimization), End-use Industry – Global Forecast to 2030
AI in E-commerce Market by Technology (ML, NLP, Computer Vision), Business Model, Deployment Mode, Product Offering (Beauty & Fashion, Pharmaceutical, Electronic), End User (B2B, B2C), and Geography – Global Forecast to 2031
Healthcare Artificial Intelligence Market by Offering (Software, Services), Technology (ML, NLP), Application (Hospital Workflow Management, Patient Management), End User (Hospitals & Diagnostic Centers), and Geography – Global Forecast to 2031
About Meticulous Research®
Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.
The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
Contact:
Mr. Khushal BombeMeticulous Market Research Inc.1267 Willis St, Ste 200 Redding,California, 96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email- [email protected] Visit Our Website: https://www.meticulousresearch.com/Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/1041/enterprise-ai-market-2031
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Artificial Intelligence

Virtual Assistant Market Size to Grow USD 8613.5 Million by 2030 at a CAGR of 22.3% | Valuates Reports

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BANGALORE, India, May 2, 2024 /PRNewswire/ — Virtual Assistant Market is Segmented by Type (Fax, Media), by Application (Retail & Ecommerce, BFSI, Automotive, Healthcare).

The Global Virtual Assistant Market was valued at USD 2054.5 Million in 2023 and is anticipated to reach USD 8613.5 Million by 2030, witnessing a CAGR of 22.3% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Virtual Assistant Market:
Because of its advanced digital infrastructure and early acceptance of technology, North America is the leader in the virtual assistant business. With so many tech-savvy professionals in the US and Canada, virtual assistant jobs are becoming more and more appealing to them as flexible work options. This region’s virtual assistant platform industry is growing due in part to the presence of large technological corporations and startups. Furthermore, as companies look for affordable options for administrative help, the surge in remote work trends—particularly in the wake of the pandemic—has increased demand for virtual assistants.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL VIRTUAL ASSISTANT MARKET
The growing requirement for efficient administrative support services is driving the virtual assistant market in the BFSI sector. Virtual assistants, who manage administrative tasks including data entry, document preparation, and email correspondence, are a wonderful asset to financial firms. Their remote access to planning resources from a home office makes it easier for clients to cooperate and boosts output. Additionally, virtual assistants with specialised knowledge in banking, finance, and regulatory compliance improve customer service and operational performance in the BFSI sector.
Because they offer administrative help to companies in the retail and e-commerce sectors, virtual assistants are essential to this industry. Virtual assistants let retailers focus on their main business activities by streamlining their operations and performing tasks like inventory management, product listing updates, and customer questions and orders processing. Their remote access to common calendars and other planning materials guarantees smooth client collaboration and improves responsiveness to client requests. Because virtual assistants provide flexible support services that can adjust to changing demand levels, they can help retail and e-commerce enterprises scale.
Virtual assistants are fostering growth in the automotive industry by offering administrative support services to companies in this field. Virtual assistants help auto firms with a range of duties, such as addressing client questions, making appointment arrangements, and organising logistics for car delivery and maintenance. The flexibility and efficiency of the automotive supply chain are increased by their remote access to planning documents and capacity to work from home offices. Furthermore, virtual assistants enhance client satisfaction by offering prompt help and support during the whole lifespan of a vehicle.
The market for virtual assistants is expanding in the healthcare industry as providers look to enhance patient care and streamline administrative procedures. Virtual assistants help healthcare businesses by taking care of patient queries, organizing appointments, and helping with medical paperwork duties. They may collaborate with healthcare professionals more easily and efficiently since they can work from home offices and access shared calendars and patient information. By promptly responding to questions and concerns about healthcare, virtual assistants can help to increase patient satisfaction.
The demand for cost-cutting and operational efficiency, the emergence of software-defined networking (SDN) technologies, and the growing complexity of network infrastructures are the main drivers of the market for network automation. In response to expanding digital transformation projects and the growth of cloud-based services and apps, organisations across a wide range of sectors are adopting automation to increase agility, streamline network administration operations, and boost security posture.
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VIRTUAL ASSISTANT MARKET SHARE ANALYSIS
Due to the region’s early technological adoption and strong digital infrastructure, North America now dominates the virtual assistant industry. There is a sizable pool of tech-savvy workers in the US and Canada who are increasingly looking for flexible work options in virtual assistant professions. The existence of established tech firms and new ventures focused on virtual assistant platforms contributes to the expansion of this industry in this area. In addition, as companies look for affordable options for administrative help, the need for virtual assistants has increased due to the rise in remote work patterns, particularly in the wake of the pandemic.
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Key Companies:
OracleNuance CommunicationsMicrosoftInbenta TechnologiesSamsung ElectronicsAppleIBMIntelGOOGLE INCAmazonPurchase Chapters: https://reports.valuates.com/market-reports/QYRE-Auto-21S6075/global-and-united-states-virtual-assistant/1 
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–  Metaverse market size is projected to reach USD 28 Billion by 2028, from 510 USD Million in 2022, at a CAGR of 95% during 2022-2028.
–  The global conversational AI market size was valued at USD 5.78 billion in 2020, and is projected to reach USD 32.62 billion by 2030, registering a CAGR of 20.0% from 2021 to 2030.
–  Conversational AI Platforms market was valued at USD 2352.3 Million in 2023 and is anticipated to reach USD 5331 Million by 2030, witnessing a CAGR of 12.1% during the forecast period 2024-2030.
–  Augmented and Virtual Reality Market
–  Virtual Fitting Room market size was USD 2973.1 Million in 2022 and is forecast to a readjusted size of USD 8501.1 Million by 2029 with a CAGR of 16.0% during the forecast period 2023-2029.
–  The generative ai market was valued at USD 8.15 Billion in 2021, and is estimated to reach USD 126.5 Billion by 2031, growing at a CAGR of 32% from 2022 to 2031.
–  The global AI Content Generation market was valued at USD 1400 Million in 2022 and is anticipated to reach USD 5958 Million by 2029, witnessing a CAGR of 27.3% during the forecast period 2023-2029.
–  AIGC Large Model Market
–  The global Digital Process Automation market size is projected to reach USD 11770 Million by 2027, from USD 6451.8 Million in 2020, at a CAGR of 8.5% during 2021-2027.
–  Application Modernization Services Market
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